Introduction to Space-Time Wireless Communications

By Arogyaswami Paulraj. 2003

3,969 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/edf64aa4efe8a0d75c8d02b4279b66410d53ff86

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Citations in the corpus

Space-Time Block Coded Spatial Modulation (2011, unknown): “Inadequate antenna spacing and the presence of local scatterers lead to spatial correlation (SC) between transmit and receive antennas of a MIMO link, which can be modeled by a modified channel matrix [22] Hcorr = R 1/2 t HR 1/2 r where Rt = [rij ]nT×nT and Rr = [rij ]nR×nR are the SC matrices at th”
VLSI implementation of MIMO detection using the sphere decoding algorithm (2005, background): “Multiple-input multiple-output (MIMO) communication systems [2], which use multiple antennas at both sides of the wireless link, have recently emerged as a key enabling technology for meeting these requirements.”
Optimal Single-Port Matching Impedance for Capacity Maximization in Compact MIMO Arrays (2008, background): “and receive covariance matrices, respectively [4] with ,”
Fifty Years of MIMO Detection: The Road to Large-Scale MIMOs (2015, methodology): “This is actually the so-called SDMA system [21], [44], [152]–[158].”
On the distribution of SINR for the MMSE MIMO receiver and performance analysis (2006, background): “, [1]–[6]) SINRk = 1 MMSEk 1 = 1 Ip + 1 m H y H 1 kk 1 (2)”
MIMO over Satellite: A Review (2011, background): “polarized antennas can be approximately modeled by [11]:”
Generalized Design of Multi-User MIMO Precoding Matrices (2008, unknown): “as Mbi = Vi [11], [22].”
Capacity Enhancement Using an Interference Limited Area for Device-to-Device Uplink Underlaying Cellular Networks (2011, methodology): “We assume that the BS is equipped with M antennas, whereas each UE is equipped with a single antenna, so the BS can simultaneously support up to M CUEs using the MIMO spatial multiplexing techniques [8].”
Soft-output sphere decoding: algorithms and VLSI implementation (2008, methodology): “The soft-output STS SESD ASIC shows only slightly lower maximum clock frequency than the corresponding hard-output SESD.”
An overview of MIMO communications - a key to gigabit wireless (2004, background): “A set of six channels known as the Stanford University Interim (SUI) models [18], reflective of the three terrains (urban, suburban, and hilly) in the continental United States, have been developed and adopted by the IEEE 802.16 standards committee for fixed broadband wireless applications.”
A Coordinated Approach to Channel Estimation in Large-Scale Multiple-Antenna Systems (2012, background): “…channel vectors are assumed to be M × 1 complex Gaussian, undergoing correlation due to the ﬁnite multipath angle spread at the base station side [10]: where h W l ∼ CN ( 0 , I M ) is the spatially white M × 1 SIMO channel, and CN ( 0 , I M ) denotes zero-mean complex Gaussian distribution with…”
Deep Learning-Based CSI Feedback Approach for Time-Varying Massive MIMO Channels (2018, background): “where f0 is the carrier frequency and c is the speed of light [3].”
MIMO Configurations for Relay Channels: Theory and Practice (2007, methodology): “We refer to this as single signal beamforming [30], [31].”
Smart antenna technologies for future wireless systems: trends and challenges (2004, methodology): “The former approach, space-time coding [ 1 ], increases redundancy over space and time, as each antenna transmits a differently encoded fully redundant version of the same signal.”
On the optimality of multiantenna broadcast scheduling using zero-forcing beamforming (2006, methodology): “In ZFBF [8], [9], [16], beamforming vectors are selected such that they satisfy the zero-interference condition for .”